Articles | Volume 10, issue 3
Earth Syst. Sci. Data, 10, 1367–1401, 2018
https://doi.org/10.5194/essd-10-1367-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 1367–1401, 2018
https://doi.org/10.5194/essd-10-1367-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 Jul 2018
30 Jul 2018
Seasonal carbonate chemistry variability in marine surface waters of the US Pacific Northwest
Andrea J. Fassbender et al.
Related authors
Andrea J. Fassbender, James C. Orr, and Andrew G. Dickson
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-348, https://doi.org/10.5194/bg-2020-348, 2020
Revised manuscript accepted for BG
Short summary
Short summary
A decline in upper ocean pH with time is typically ascribed to ocean acidification. A more quantitative interpretation is often confused by failing to recognize the implications of pH being a logarithmic transform of hydrogen ion concentration, rather than an absolute measure. This can lead to an unwitting misinterpretation of pH data. We provide three real-world examples illustrating this and recommend the reporting of both hydrogen ion concentration and pH in studies of ocean chemical change.
Li-Qing Jiang, Richard A. Feely, Rik Wanninkhof, Dana Greeley, Leticia Barbero, Simone Alin, Brendan R. Carter, Denis Pierrot, Charles Featherstone, James Hooper, Chris Melrose, Natalie Monacci, Jonathan Sharp, Shawn Shellito, Yuan-Yuan Xu, Alex Kozyr, Robert H. Byrne, Wei-Jun Cai, Jessica Cross, Gregory C. Johnson, Burke Hales, Chris Langdon, Jeremy Mathis, Joe Salisbury, and David W. Townsend
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-402, https://doi.org/10.5194/essd-2020-402, 2021
Preprint under review for ESSD
Short summary
Short summary
Coastal ecosystems account for most of the economic activities related to commercial and recreational fisheries and aquaculture industries, supporting about 90 % of the global fisheries yield and 80 % of known species of marine fish. Despite the large potential risks from ocean acidification (OA), internally consistent OA data products in the coastal ocean still do not exist. This paper is the first time we report a high quality OA data product in the U.S. coastal waters.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020, https://doi.org/10.5194/essd-12-3269-2020, 2020
Short summary
Short summary
The Global Carbon Budget 2020 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Andrea J. Fassbender, James C. Orr, and Andrew G. Dickson
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-348, https://doi.org/10.5194/bg-2020-348, 2020
Revised manuscript accepted for BG
Short summary
Short summary
A decline in upper ocean pH with time is typically ascribed to ocean acidification. A more quantitative interpretation is often confused by failing to recognize the implications of pH being a logarithmic transform of hydrogen ion concentration, rather than an absolute measure. This can lead to an unwitting misinterpretation of pH data. We provide three real-world examples illustrating this and recommend the reporting of both hydrogen ion concentration and pH in studies of ocean chemical change.
Samantha A. Siedlecki, Darren Pilcher, Evan M. Howard, Curtis Deutsch, Parker MacCready, Emily L. Norton, Hartmut Frenzel, Jan Newton, Richard A. Feely, Simone R. Alin, and Terrie Klinger
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-279, https://doi.org/10.5194/bg-2020-279, 2020
Revised manuscript under review for BG
Short summary
Short summary
Future ocean conditions can be assessed using present trends in fossil fuel use paired with earth system models. Global earth system models generally do not include the full range of local processes important to coastal ecosystems. Compared to global changes, these coastal processes alter the degree of change observed. Higher resolution models that include local processes driven by the global earth system simulations predict modified changes in carbon stressors than projected by global models.
Katja Fennel, Simone Alin, Leticia Barbero, Wiley Evans, Timothée Bourgeois, Sarah Cooley, John Dunne, Richard A. Feely, Jose Martin Hernandez-Ayon, Xinping Hu, Steven Lohrenz, Frank Muller-Karger, Raymond Najjar, Lisa Robbins, Elizabeth Shadwick, Samantha Siedlecki, Nadja Steiner, Adrienne Sutton, Daniela Turk, Penny Vlahos, and Zhaohui Aleck Wang
Biogeosciences, 16, 1281–1304, https://doi.org/10.5194/bg-16-1281-2019, https://doi.org/10.5194/bg-16-1281-2019, 2019
Short summary
Short summary
We review and synthesize available information on coastal ocean carbon fluxes around North America (NA). There is overwhelming evidence, compiled and discussed here, that the NA coastal margins act as a sink. Our synthesis shows the great diversity in processes driving carbon fluxes in different coastal regions, highlights remaining gaps in observations and models, and discusses current and anticipated future trends with respect to carbon fluxes and acidification.
Adrienne J. Sutton, Richard A. Feely, Stacy Maenner-Jones, Sylvia Musielwicz, John Osborne, Colin Dietrich, Natalie Monacci, Jessica Cross, Randy Bott, Alex Kozyr, Andreas J. Andersson, Nicholas R. Bates, Wei-Jun Cai, Meghan F. Cronin, Eric H. De Carlo, Burke Hales, Stephan D. Howden, Charity M. Lee, Derek P. Manzello, Michael J. McPhaden, Melissa Meléndez, John B. Mickett, Jan A. Newton, Scott E. Noakes, Jae Hoon Noh, Solveig R. Olafsdottir, Joseph E. Salisbury, Uwe Send, Thomas W. Trull, Douglas C. Vandemark, and Robert A. Weller
Earth Syst. Sci. Data, 11, 421–439, https://doi.org/10.5194/essd-11-421-2019, https://doi.org/10.5194/essd-11-421-2019, 2019
Short summary
Short summary
Long-term observations are critical records for distinguishing natural cycles from climate change. We present a data set of 40 surface ocean CO2 and pH time series that suggests the time length necessary to detect a trend in seawater CO2 due to uptake of atmospheric CO2 varies from 8 years in the least variable ocean regions to 41 years in the most variable coastal regions. This data set provides a tool to evaluate natural cycles of ocean CO2, with long-term trends emerging as records lengthen.
Corinne Le Quéré, Robbie M. Andrew, Pierre Friedlingstein, Stephen Sitch, Judith Hauck, Julia Pongratz, Penelope A. Pickers, Jan Ivar Korsbakken, Glen P. Peters, Josep G. Canadell, Almut Arneth, Vivek K. Arora, Leticia Barbero, Ana Bastos, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Philippe Ciais, Scott C. Doney, Thanos Gkritzalis, Daniel S. Goll, Ian Harris, Vanessa Haverd, Forrest M. Hoffman, Mario Hoppema, Richard A. Houghton, George Hurtt, Tatiana Ilyina, Atul K. Jain, Truls Johannessen, Chris D. Jones, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Peter Landschützer, Nathalie Lefèvre, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-ichiro Nakaoka, Craig Neill, Are Olsen, Tsueno Ono, Prabir Patra, Anna Peregon, Wouter Peters, Philippe Peylin, Benjamin Pfeil, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Matthias Rocher, Christian Rödenbeck, Ute Schuster, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Tobias Steinhoff, Adrienne Sutton, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco N. Tubiello, Ingrid T. van der Laan-Luijkx, Guido R. van der Werf, Nicolas Viovy, Anthony P. Walker, Andrew J. Wiltshire, Rebecca Wright, Sönke Zaehle, and Bo Zheng
Earth Syst. Sci. Data, 10, 2141–2194, https://doi.org/10.5194/essd-10-2141-2018, https://doi.org/10.5194/essd-10-2141-2018, 2018
Short summary
Short summary
The Global Carbon Budget 2018 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Melissa Meléndez, Joseph Salisbury, Dwight Gledhill, Chris Langdon, Julio M. Morell, Derek Manzello, Sylvia Musielewicz, and Adrienne Sutton
Biogeosciences Discuss., https://doi.org/10.5194/bg-2018-408, https://doi.org/10.5194/bg-2018-408, 2018
Preprint withdrawn
Short summary
Short summary
Using observations from the NOAA CO2 buoy in La Parguera, Puerto Rico along with modeling approaches yield useful indices of biological processes affecting the water column over the reef. This study provided the first long-term monitoring of coral reef biological processes. Results show that processes that produce CO2 dominated over most of the year leading to high dissolution rates. This can have implications on the reef system's ability to recover to other climate-scale stressors (warming).
Adrienne J. Sutton, Richard A. Feely, Stacy Maenner-Jones, Sylvia Musielwicz, John Osborne, Colin Dietrich, Natalie Monacci, Jessica Cross, Randy Bott, and Alex Kozyr
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-77, https://doi.org/10.5194/essd-2018-77, 2018
Preprint withdrawn
Short summary
Short summary
Long-term observations are critical records for distinguishing natural cycles from climate change. We present a data set of 40 surface ocean CO2 and pH time series that suggest the time length necessary to detect a trend in seawater CO2 due to uptake of atmospheric CO2 varies from 8 years in the least variable ocean regions to 41 years in the most variable coastal regions. This data set provides a tool to evaluate natural cycles of ocean CO2, with long-term trends emerging as records lengthen.
Corinne Le Quéré, Robbie M. Andrew, Josep G. Canadell, Stephen Sitch, Jan Ivar Korsbakken, Glen P. Peters, Andrew C. Manning, Thomas A. Boden, Pieter P. Tans, Richard A. Houghton, Ralph F. Keeling, Simone Alin, Oliver D. Andrews, Peter Anthoni, Leticia Barbero, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Philippe Ciais, Kim Currie, Christine Delire, Scott C. Doney, Pierre Friedlingstein, Thanos Gkritzalis, Ian Harris, Judith Hauck, Vanessa Haverd, Mario Hoppema, Kees Klein Goldewijk, Atul K. Jain, Etsushi Kato, Arne Körtzinger, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Danica Lombardozzi, Joe R. Melton, Nicolas Metzl, Frank Millero, Pedro M. S. Monteiro, David R. Munro, Julia E. M. S. Nabel, Shin-ichiro Nakaoka, Kevin O'Brien, Are Olsen, Abdirahman M. Omar, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Christian Rödenbeck, Joe Salisbury, Ute Schuster, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Benjamin D. Stocker, Adrienne J. Sutton, Taro Takahashi, Hanqin Tian, Bronte Tilbrook, Ingrid T. van der Laan-Luijkx, Guido R. van der Werf, Nicolas Viovy, Anthony P. Walker, Andrew J. Wiltshire, and Sönke Zaehle
Earth Syst. Sci. Data, 8, 605–649, https://doi.org/10.5194/essd-8-605-2016, https://doi.org/10.5194/essd-8-605-2016, 2016
Short summary
Short summary
The Global Carbon Budget 2016 is the 11th annual update of emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land, and ocean. This data synthesis brings together measurements, statistical information, and analyses of model results in order to provide an assessment of the global carbon budget and their uncertainties for years 1959 to 2015, with a projection for year 2016.
Dorothee C. E. Bakker, Benjamin Pfeil, Camilla S. Landa, Nicolas Metzl, Kevin M. O'Brien, Are Olsen, Karl Smith, Cathy Cosca, Sumiko Harasawa, Stephen D. Jones, Shin-ichiro Nakaoka, Yukihiro Nojiri, Ute Schuster, Tobias Steinhoff, Colm Sweeney, Taro Takahashi, Bronte Tilbrook, Chisato Wada, Rik Wanninkhof, Simone R. Alin, Carlos F. Balestrini, Leticia Barbero, Nicholas R. Bates, Alejandro A. Bianchi, Frédéric Bonou, Jacqueline Boutin, Yann Bozec, Eugene F. Burger, Wei-Jun Cai, Robert D. Castle, Liqi Chen, Melissa Chierici, Kim Currie, Wiley Evans, Charles Featherstone, Richard A. Feely, Agneta Fransson, Catherine Goyet, Naomi Greenwood, Luke Gregor, Steven Hankin, Nick J. Hardman-Mountford, Jérôme Harlay, Judith Hauck, Mario Hoppema, Matthew P. Humphreys, Christopher W. Hunt, Betty Huss, J. Severino P. Ibánhez, Truls Johannessen, Ralph Keeling, Vassilis Kitidis, Arne Körtzinger, Alex Kozyr, Evangelia Krasakopoulou, Akira Kuwata, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Claire Lo Monaco, Ansley Manke, Jeremy T. Mathis, Liliane Merlivat, Frank J. Millero, Pedro M. S. Monteiro, David R. Munro, Akihiko Murata, Timothy Newberger, Abdirahman M. Omar, Tsuneo Ono, Kristina Paterson, David Pearce, Denis Pierrot, Lisa L. Robbins, Shu Saito, Joe Salisbury, Reiner Schlitzer, Bernd Schneider, Roland Schweitzer, Rainer Sieger, Ingunn Skjelvan, Kevin F. Sullivan, Stewart C. Sutherland, Adrienne J. Sutton, Kazuaki Tadokoro, Maciej Telszewski, Matthias Tuma, Steven M. A. C. van Heuven, Doug Vandemark, Brian Ward, Andrew J. Watson, and Suqing Xu
Earth Syst. Sci. Data, 8, 383–413, https://doi.org/10.5194/essd-8-383-2016, https://doi.org/10.5194/essd-8-383-2016, 2016
Short summary
Short summary
Version 3 of the Surface Ocean CO2 Atlas (www.socat.info) has 14.5 million CO2 (carbon dioxide) values for the years 1957 to 2014 covering the global oceans and coastal seas. Version 3 is an update to version 2 with a longer record and 44 % more CO2 values. The CO2 measurements have been made on ships, fixed moorings and drifting buoys. SOCAT enables quantification of the ocean carbon sink and ocean acidification, as well as model evaluation, thus informing climate negotiations.
Adrienne J. Sutton, Christopher L. Sabine, Richard A. Feely, Wei-Jun Cai, Meghan F. Cronin, Michael J. McPhaden, Julio M. Morell, Jan A. Newton, Jae-Hoon Noh, Sólveig R. Ólafsdóttir, Joseph E. Salisbury, Uwe Send, Douglas C. Vandemark, and Robert A. Weller
Biogeosciences, 13, 5065–5083, https://doi.org/10.5194/bg-13-5065-2016, https://doi.org/10.5194/bg-13-5065-2016, 2016
Short summary
Short summary
Ocean carbonate observations from surface buoys reveal that marine life is currently exposed to conditions outside preindustrial bounds at 12 study locations around the world. Seasonal conditions in the California Current Ecosystem and Gulf of Maine also exceed thresholds that may impact shellfish larvae. High-resolution observations place long-term change in the context of large natural variability: a necessary step to understand ocean acidification impacts under real-world conditions.
C. Le Quéré, R. Moriarty, R. M. Andrew, J. G. Canadell, S. Sitch, J. I. Korsbakken, P. Friedlingstein, G. P. Peters, R. J. Andres, T. A. Boden, R. A. Houghton, J. I. House, R. F. Keeling, P. Tans, A. Arneth, D. C. E. Bakker, L. Barbero, L. Bopp, J. Chang, F. Chevallier, L. P. Chini, P. Ciais, M. Fader, R. A. Feely, T. Gkritzalis, I. Harris, J. Hauck, T. Ilyina, A. K. Jain, E. Kato, V. Kitidis, K. Klein Goldewijk, C. Koven, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. Lenton, I. D. Lima, N. Metzl, F. Millero, D. R. Munro, A. Murata, J. E. M. S. Nabel, S. Nakaoka, Y. Nojiri, K. O'Brien, A. Olsen, T. Ono, F. F. Pérez, B. Pfeil, D. Pierrot, B. Poulter, G. Rehder, C. Rödenbeck, S. Saito, U. Schuster, J. Schwinger, R. Séférian, T. Steinhoff, B. D. Stocker, A. J. Sutton, T. Takahashi, B. Tilbrook, I. T. van der Laan-Luijkx, G. R. van der Werf, S. van Heuven, D. Vandemark, N. Viovy, A. Wiltshire, S. Zaehle, and N. Zeng
Earth Syst. Sci. Data, 7, 349–396, https://doi.org/10.5194/essd-7-349-2015, https://doi.org/10.5194/essd-7-349-2015, 2015
Short summary
Short summary
Accurate assessment of anthropogenic carbon dioxide emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to understand the global carbon cycle, support the development of climate policies, and project future climate change. We describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on a range of data and models and their interpretation by a broad scientific community.
C. Le Quéré, R. Moriarty, R. M. Andrew, G. P. Peters, P. Ciais, P. Friedlingstein, S. D. Jones, S. Sitch, P. Tans, A. Arneth, T. A. Boden, L. Bopp, Y. Bozec, J. G. Canadell, L. P. Chini, F. Chevallier, C. E. Cosca, I. Harris, M. Hoppema, R. A. Houghton, J. I. House, A. K. Jain, T. Johannessen, E. Kato, R. F. Keeling, V. Kitidis, K. Klein Goldewijk, C. Koven, C. S. Landa, P. Landschützer, A. Lenton, I. D. Lima, G. Marland, J. T. Mathis, N. Metzl, Y. Nojiri, A. Olsen, T. Ono, S. Peng, W. Peters, B. Pfeil, B. Poulter, M. R. Raupach, P. Regnier, C. Rödenbeck, S. Saito, J. E. Salisbury, U. Schuster, J. Schwinger, R. Séférian, J. Segschneider, T. Steinhoff, B. D. Stocker, A. J. Sutton, T. Takahashi, B. Tilbrook, G. R. van der Werf, N. Viovy, Y.-P. Wang, R. Wanninkhof, A. Wiltshire, and N. Zeng
Earth Syst. Sci. Data, 7, 47–85, https://doi.org/10.5194/essd-7-47-2015, https://doi.org/10.5194/essd-7-47-2015, 2015
Short summary
Short summary
Carbon dioxide (CO2) emissions from human activities (burning fossil fuels and cement production, deforestation and other land-use change) are set to rise again in 2014.
This study (updated yearly) makes an accurate assessment of anthropogenic CO2 emissions and their redistribution between the atmosphere, ocean, and terrestrial biosphere in order to better understand the global carbon cycle, support the development of climate policies, and project future climate change.
A. J. Sutton, C. L. Sabine, S. Maenner-Jones, N. Lawrence-Slavas, C. Meinig, R. A. Feely, J. T. Mathis, S. Musielewicz, R. Bott, P. D. McLain, H. J. Fought, and A. Kozyr
Earth Syst. Sci. Data, 6, 353–366, https://doi.org/10.5194/essd-6-353-2014, https://doi.org/10.5194/essd-6-353-2014, 2014
Short summary
Short summary
In an effort to track ocean change, sustained ocean observations are becoming increasingly important. Advancements in the ocean carbon observation network over the last decade have dramatically improved our ability to understand how rising atmospheric CO2 and climate change affect the chemistry of the oceans and their marine ecosystems. Here we describe one of those advancements, the MAPCO2 system, and the climate-quality data produced from 14 ocean CO2 observatories.
D. C. E. Bakker, B. Pfeil, K. Smith, S. Hankin, A. Olsen, S. R. Alin, C. Cosca, S. Harasawa, A. Kozyr, Y. Nojiri, K. M. O'Brien, U. Schuster, M. Telszewski, B. Tilbrook, C. Wada, J. Akl, L. Barbero, N. R. Bates, J. Boutin, Y. Bozec, W.-J. Cai, R. D. Castle, F. P. Chavez, L. Chen, M. Chierici, K. Currie, H. J. W. de Baar, W. Evans, R. A. Feely, A. Fransson, Z. Gao, B. Hales, N. J. Hardman-Mountford, M. Hoppema, W.-J. Huang, C. W. Hunt, B. Huss, T. Ichikawa, T. Johannessen, E. M. Jones, S. D. Jones, S. Jutterström, V. Kitidis, A. Körtzinger, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. B. Manke, J. T. Mathis, L. Merlivat, N. Metzl, A. Murata, T. Newberger, A. M. Omar, T. Ono, G.-H. Park, K. Paterson, D. Pierrot, A. F. Ríos, C. L. Sabine, S. Saito, J. Salisbury, V. V. S. S. Sarma, R. Schlitzer, R. Sieger, I. Skjelvan, T. Steinhoff, K. F. Sullivan, H. Sun, A. J. Sutton, T. Suzuki, C. Sweeney, T. Takahashi, J. Tjiputra, N. Tsurushima, S. M. A. C. van Heuven, D. Vandemark, P. Vlahos, D. W. R. Wallace, R. Wanninkhof, and A. J. Watson
Earth Syst. Sci. Data, 6, 69–90, https://doi.org/10.5194/essd-6-69-2014, https://doi.org/10.5194/essd-6-69-2014, 2014
Related subject area
Oceanography – Chemical
An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2020
ARIOS: a database for ocean acidification assessment in the Iberian upwelling system (1976–2018)
OceanSODA-ETHZ: A global gridded data set of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification
A uniform pCO2 climatology combining open and coastal oceans
Dissolved inorganic nutrients in the western Mediterranean Sea (2004–2017)
A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach
A 17-year dataset of surface water fugacity of CO2 along with calculated pH, aragonite saturation state and air–sea CO2 fluxes in the northern Caribbean Sea
Global database of ratios of particulate organic carbon to thorium-234 in the ocean: improving estimates of the biological carbon pump
Global certified-reference-material- or reference-material-scaled nutrient gridded dataset GND13
GLODAPv2.2019 – an update of GLODAPv2
A global monthly climatology of total alkalinity: a neural network approach
Environmental parameters of shallow water habitats in the SW Baltic Sea
A comprehensive global oceanic dataset of helium isotope and tritium measurements
Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends
A rare intercomparison of nutrient analysis at sea: lessons learned and recommendations to enhance comparability of open-ocean nutrient data
SURATLANT: a 1993–2017 surface sampling in the central part of the North Atlantic subpolar gyre
FerryBox data in the North Sea from 2002 to 2005
The Ocean Carbon States Database: a proof-of-concept application of cluster analysis in the ocean carbon cycle
An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1
A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)
The Global Ocean Data Analysis Project version 2 (GLODAPv2) – an internally consistent data product for the world ocean
A new global interior ocean mapped climatology: the 1° × 1° GLODAP version 2
Stable carbon isotopes of dissolved inorganic carbon for a zonal transect across the subpolar North Atlantic Ocean in summer 2014
In situ measurement of the biogeochemical properties of Southern Ocean mesoscale eddies in the Southwest Indian Ocean, April 2014
A high-frequency atmospheric and seawater pCO2 data set from 14 open-ocean sites using a moored autonomous system
Measurements of total alkalinity and inorganic dissolved carbon in the Atlantic Ocean and adjacent Southern Ocean between 2008 and 2010
Measurements of the dissolved inorganic carbon system and associated biogeochemical parameters in the Canadian Arctic, 1974–2009
An update to the Surface Ocean CO2 Atlas (SOCAT version 2)
Winter measurements of oceanic biogeochemical parameters in the Rockall Trough (2009–2012)
Repeat hydrography in the Mediterranean Sea, data from the Meteor cruise 84/3 in 2011
A uniform, quality controlled Surface Ocean CO2 Atlas (SOCAT)
Surface Ocean CO2 Atlas (SOCAT) gridded data products
Assessing the internal consistency of the CARINA data base in the Pacific sector of the Southern Ocean
CARINA TCO2 data in the Atlantic Ocean
CARINA data synthesis project: pH data scale unification and cruise adjustments
Nordic Seas dissolved oxygen data in CARINA
The CARINA data synthesis project: introduction and overview
The Irminger Sea and the Iceland Sea time series measurements of sea water carbon and nutrient chemistry 1983–2008
Assessing the internal consistency of the CARINA database in the Indian sector of the Southern Ocean
CARINA oxygen data in the Atlantic Ocean
Consistency of cruise data of the CARINA database in the Atlantic sector of the Southern Ocean
Are Olsen, Nico Lange, Robert M. Key, Toste Tanhua, Henry C. Bittig, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Camilla S. Landa, Siv K. Lauvset, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, and Ryan J. Woosley
Earth Syst. Sci. Data, 12, 3653–3678, https://doi.org/10.5194/essd-12-3653-2020, https://doi.org/10.5194/essd-12-3653-2020, 2020
Short summary
Short summary
GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by chemical analysis of water bottle samples at scientific cruises. GLODAPv2.2020 is the second update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 946 hydrographic cruises covering the world's oceans from 1972 to 2019.
Xosé Antonio Padin, Antón Velo, and Fiz F. Pérez
Earth Syst. Sci. Data, 12, 2647–2663, https://doi.org/10.5194/essd-12-2647-2020, https://doi.org/10.5194/essd-12-2647-2020, 2020
Short summary
Short summary
The ARIOS (Acidification in the Rias and the Iberian Continental Shelf) database holds biogeochemical information from 3357 oceanographic stations, giving 17 653 discrete samples. This unique collection is a starting point for evaluating ocean acidification in the Iberian upwelling system, characterized by intense biogeochemical interactions as an observation-based analysis, or for use as inputs in a coupled physical–biogeochemical model to disentangle these interactions at the ecosystem level.
Luke Gregor and Nicolas Gruber
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-300, https://doi.org/10.5194/essd-2020-300, 2020
Revised manuscript accepted for ESSD
Short summary
Short summary
Ocean acidification (OA) has altered the ocean’s carbonate chemistry, with consequences for marine life. Yet, no observation-based data set exists that permits to study changes in OA. We fill this gap with a global data set of relevant surface ocean parameters over the period 1985–2018. This data set, OceanSODA-ETHZ, was created by using satellite and other data to extrapolate ship-based measurements of carbon dioxide and total alkalinity from which parameters for OA were computed.
Peter Landschützer, Goulven G. Laruelle, Alizee Roobaert, and Pierre Regnier
Earth Syst. Sci. Data, 12, 2537–2553, https://doi.org/10.5194/essd-12-2537-2020, https://doi.org/10.5194/essd-12-2537-2020, 2020
Short summary
Short summary
In recent years, multiple estimates of the global air–sea CO2 flux emerged from upscaling shipboard pCO2 measurements. They are however limited to the open-ocean domain and do not consider the coastal ocean, i.e. a significant marine sink for CO2. We build towards an integrated pCO2 product that combines both the open-ocean and coastal-ocean domain and focus on the evaluation of the common overlap area of these products and how well the aquatic continuum is represented in the new climatology.
Malek Belgacem, Jacopo Chiggiato, Mireno Borghini, Bruno Pavoni, Gabriella Cerrati, Francesco Acri, Stefano Cozzi, Alberto Ribotti, Marta Álvarez, Siv K. Lauvset, and Katrin Schroeder
Earth Syst. Sci. Data, 12, 1985–2011, https://doi.org/10.5194/essd-12-1985-2020, https://doi.org/10.5194/essd-12-1985-2020, 2020
Short summary
Short summary
Long-term time series are a fundamental prerequisite to understanding and detecting climate shifts and trends. In marginal seas, such as the Mediterranean Sea, there are still monitoring gaps. An extensive dataset of dissolved inorganic nutrient profiles were collected between 2004 and 2017 in the western Mediterranean Sea to provide to the scientific community a publicly available, long-term, quality-controlled, internally consistent new database.
Daniel Broullón, Fiz F. Pérez, Antón Velo, Mario Hoppema, Are Olsen, Taro Takahashi, Robert M. Key, Toste Tanhua, J. Magdalena Santana-Casiano, and Alex Kozyr
Earth Syst. Sci. Data, 12, 1725–1743, https://doi.org/10.5194/essd-12-1725-2020, https://doi.org/10.5194/essd-12-1725-2020, 2020
Short summary
Short summary
This work offers a vision of the global ocean regarding the carbon cycle and the implications of ocean acidification through a climatology of a changing variable in the context of climate change: total dissolved inorganic carbon. The climatology was designed through artificial intelligence techniques to represent the mean state of the present ocean. It is very useful to introduce in models to evaluate the state of the ocean from different perspectives.
Rik Wanninkhof, Denis Pierrot, Kevin Sullivan, Leticia Barbero, and Joaquin Triñanes
Earth Syst. Sci. Data, 12, 1489–1509, https://doi.org/10.5194/essd-12-1489-2020, https://doi.org/10.5194/essd-12-1489-2020, 2020
Short summary
Short summary
This paper describes a 17-year dataset of over a million data points of automated partial pressure of CO2 (pCO2) measurements on large luxury cruise ships of Royal Caribbean Cruise Lines (RCCL). These data are used to provide trends of ocean acidification and air–sea CO2 fluxes. The effort was possible through a unique continuing industry (RCCL), academic (University of Miami) and governmental (NOAA) partnership.
Viena Puigcorbé, Pere Masqué, and Frédéric A. C. Le Moigne
Earth Syst. Sci. Data, 12, 1267–1285, https://doi.org/10.5194/essd-12-1267-2020, https://doi.org/10.5194/essd-12-1267-2020, 2020
Short summary
Short summary
The biological carbon pump is a mechanism by which the oceans capture atmospheric carbon dioxide thanks to microscopic marine algae. Quantifying its strength and efficiency is crucial to understand the global carbon budget and be able to forecast its trends. The radioactive pair 234Th : 238U has been extensively used for that purpose. This is a global compilation of carbon-to-234Th ratios (needed to convert the 234Th fluxes to carbon fluxes) that will contribute to improve our modeling efforts.
Michio Aoyama
Earth Syst. Sci. Data, 12, 487–499, https://doi.org/10.5194/essd-12-487-2020, https://doi.org/10.5194/essd-12-487-2020, 2020
Short summary
Short summary
A global nutrient gridded dataset that might be the basis for studies of more accurate spatial distributions of nutrients and their changes in the global ocean was created. This is an SI-traceable dataset of nitrate, phosphate, and silicate concentrations based on certified reference materials or reference materials (CRMs/RMs) of seawater nutrient concentration measurements used during many cruises by the author.
Are Olsen, Nico Lange, Robert M. Key, Toste Tanhua, Marta Álvarez, Susan Becker, Henry C. Bittig, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Steve D. Jones, Sara Jutterström, Maren K. Karlsen, Alex Kozyr, Siv K. Lauvset, Claire Lo Monaco, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Maciej Telszewski, Bronte Tilbrook, Anton Velo, and Rik Wanninkhof
Earth Syst. Sci. Data, 11, 1437–1461, https://doi.org/10.5194/essd-11-1437-2019, https://doi.org/10.5194/essd-11-1437-2019, 2019
Short summary
Short summary
GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by chemical analysis of water bottle samples at scientific cruises. GLODAPv2.2019 is the first update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 840 hydrographic cruises covering the world's oceans from 1972 to 2017.
Daniel Broullón, Fiz F. Pérez, Antón Velo, Mario Hoppema, Are Olsen, Taro Takahashi, Robert M. Key, Toste Tanhua, Melchor González-Dávila, Emil Jeansson, Alex Kozyr, and Steven M. A. C. van Heuven
Earth Syst. Sci. Data, 11, 1109–1127, https://doi.org/10.5194/essd-11-1109-2019, https://doi.org/10.5194/essd-11-1109-2019, 2019
Short summary
Short summary
In this work, we are contributing to the knowledge of the consequences of climate change in the ocean. We have focused on a variable related to this process: total alkalinity. We have designed a monthly climatology of total alkalinity using artificial intelligence techniques, that is, a representation of the average capacity of the ocean in the last decades to decelerate the consequences of climate change. The climatology is especially useful to infer the evolution of the ocean through models.
Markus Franz, Christian Lieberum, Gesche Bock, and Rolf Karez
Earth Syst. Sci. Data, 11, 947–957, https://doi.org/10.5194/essd-11-947-2019, https://doi.org/10.5194/essd-11-947-2019, 2019
Short summary
Short summary
The water parameters in coastal zones are highly variable, making predictions about its dynamics difficult. However, in situ measurements performed in these habitats are still scarce. Therefore we designed a monitoring study to record the environmental conditions in shallow waters by using data loggers and the collection of water samples. The data reveal great variabilities of water parameters and could be used to support experimental and modeling approaches.
William J. Jenkins, Scott C. Doney, Michaela Fendrock, Rana Fine, Toshitaka Gamo, Philippe Jean-Baptiste, Robert Key, Birgit Klein, John E. Lupton, Robert Newton, Monika Rhein, Wolfgang Roether, Yuji Sano, Reiner Schlitzer, Peter Schlosser, and Jim Swift
Earth Syst. Sci. Data, 11, 441–454, https://doi.org/10.5194/essd-11-441-2019, https://doi.org/10.5194/essd-11-441-2019, 2019
Short summary
Short summary
This paper describes an assembled dataset containing measurements of certain trace substances in the ocean, their distributions, and evolution with time. These substances, called tracers, result from a combination of natural and artificial processes, and their distribution and evolution provide important clues about ocean circulation, mixing, and ventilation. In addition, they give information about the global hydrologic cycle and volcanic and hydrothermal processes.
Adrienne J. Sutton, Richard A. Feely, Stacy Maenner-Jones, Sylvia Musielwicz, John Osborne, Colin Dietrich, Natalie Monacci, Jessica Cross, Randy Bott, Alex Kozyr, Andreas J. Andersson, Nicholas R. Bates, Wei-Jun Cai, Meghan F. Cronin, Eric H. De Carlo, Burke Hales, Stephan D. Howden, Charity M. Lee, Derek P. Manzello, Michael J. McPhaden, Melissa Meléndez, John B. Mickett, Jan A. Newton, Scott E. Noakes, Jae Hoon Noh, Solveig R. Olafsdottir, Joseph E. Salisbury, Uwe Send, Thomas W. Trull, Douglas C. Vandemark, and Robert A. Weller
Earth Syst. Sci. Data, 11, 421–439, https://doi.org/10.5194/essd-11-421-2019, https://doi.org/10.5194/essd-11-421-2019, 2019
Short summary
Short summary
Long-term observations are critical records for distinguishing natural cycles from climate change. We present a data set of 40 surface ocean CO2 and pH time series that suggests the time length necessary to detect a trend in seawater CO2 due to uptake of atmospheric CO2 varies from 8 years in the least variable ocean regions to 41 years in the most variable coastal regions. This data set provides a tool to evaluate natural cycles of ocean CO2, with long-term trends emerging as records lengthen.
Triona McGrath, Margot Cronin, Elizabeth Kerrigan, Douglas Wallace, Clynton Gregory, Claire Normandeau, and Evin McGovern
Earth Syst. Sci. Data, 11, 355–374, https://doi.org/10.5194/essd-11-355-2019, https://doi.org/10.5194/essd-11-355-2019, 2019
Short summary
Short summary
We report results from an intercomparison exercise on the analysis of nutrients at sea. Two independent teams (Marine Institute, Ireland and Dalhousie University Canada) carried out an analysis of a GO-SHIP hydrographic section. The cruise provided a unique opportunity to assess the likely comparability of nutrient data collected following GO-SHIP protocols. Datasets were high quality and compared well but highlighted a number of issues relevant to the comparability of global nutrient data.
Gilles Reverdin, Nicolas Metzl, Solveig Olafsdottir, Virginie Racapé, Taro Takahashi, Marion Benetti, Hedinn Valdimarsson, Alice Benoit-Cattin, Magnus Danielsen, Jonathan Fin, Aicha Naamar, Denis Pierrot, Kevin Sullivan, Francis Bringas, and Gustavo Goni
Earth Syst. Sci. Data, 10, 1901–1924, https://doi.org/10.5194/essd-10-1901-2018, https://doi.org/10.5194/essd-10-1901-2018, 2018
Short summary
Short summary
This paper presents the SURATLANT data set (SURveillance ATLANTique), consisting of individual data of temperature, salinity, parameters of the carbonate system, nutrients, and water stable isotopes (δ18O and δD) collected mostly from ships of opportunity since 1993 along transects between Iceland and Newfoundland. These data are used to quantify the seasonal cycle and can be used to investigate long-term tendencies in the surface ocean, including of pCO2 and pH.
Wilhelm Petersen, Susanne Reinke, Gisbert Breitbach, Michail Petschatnikov, Henning Wehde, and Henrike Thomas
Earth Syst. Sci. Data, 10, 1729–1734, https://doi.org/10.5194/essd-10-1729-2018, https://doi.org/10.5194/essd-10-1729-2018, 2018
Short summary
Short summary
From 2002 to 2005 a FerryBox system was installed aboard two different ferries traveling between Cuxhaven (Germany) and Harwich (UK) on a daily basis. The FerryBox system is an automated flow-through monitoring system for measuring oceanographic and biogeochemical parameters installed on ships of opportunity. The data set provides the parameters water temperature, salinity, dissolved oxygen and chlorophyll a fluorescence.
Rebecca Latto and Anastasia Romanou
Earth Syst. Sci. Data, 10, 609–626, https://doi.org/10.5194/essd-10-609-2018, https://doi.org/10.5194/essd-10-609-2018, 2018
Short summary
Short summary
It is crucial to study the ocean’s role in the global carbon cycle in order to understand and predict the increasing concentrations of CO2 in the atmosphere, which is regarded as one of the main drivers of global warming. By analyzing the relationship between surface ocean CO2 and temperature, we seek to understand the pathways by which the ocean controls carbon fluctuations in the atmosphere. We employ cluster analysis as a tool for revealing patterns in where and when this relationship occurs.
Meike Becker, Nils Andersen, Helmut Erlenkeuser, Matthew P. Humphreys, Toste Tanhua, and Arne Körtzinger
Earth Syst. Sci. Data, 8, 559–570, https://doi.org/10.5194/essd-8-559-2016, https://doi.org/10.5194/essd-8-559-2016, 2016
Short summary
Short summary
The stable carbon isotope composition of dissolved inorganic carbon (δ13C-DIC) can be used to quantify fluxes within the marine carbon system such as the exchange between ocean and atmosphere or the amount of anthropogenic carbon in the water column. In this study, an internally consistent δ13C-DIC dataset for the North Atlantic is presented. The data have undergone a secondary quality control during which systematic biases between the respective cruises have been quantified and adjusted.
Dorothee C. E. Bakker, Benjamin Pfeil, Camilla S. Landa, Nicolas Metzl, Kevin M. O'Brien, Are Olsen, Karl Smith, Cathy Cosca, Sumiko Harasawa, Stephen D. Jones, Shin-ichiro Nakaoka, Yukihiro Nojiri, Ute Schuster, Tobias Steinhoff, Colm Sweeney, Taro Takahashi, Bronte Tilbrook, Chisato Wada, Rik Wanninkhof, Simone R. Alin, Carlos F. Balestrini, Leticia Barbero, Nicholas R. Bates, Alejandro A. Bianchi, Frédéric Bonou, Jacqueline Boutin, Yann Bozec, Eugene F. Burger, Wei-Jun Cai, Robert D. Castle, Liqi Chen, Melissa Chierici, Kim Currie, Wiley Evans, Charles Featherstone, Richard A. Feely, Agneta Fransson, Catherine Goyet, Naomi Greenwood, Luke Gregor, Steven Hankin, Nick J. Hardman-Mountford, Jérôme Harlay, Judith Hauck, Mario Hoppema, Matthew P. Humphreys, Christopher W. Hunt, Betty Huss, J. Severino P. Ibánhez, Truls Johannessen, Ralph Keeling, Vassilis Kitidis, Arne Körtzinger, Alex Kozyr, Evangelia Krasakopoulou, Akira Kuwata, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Claire Lo Monaco, Ansley Manke, Jeremy T. Mathis, Liliane Merlivat, Frank J. Millero, Pedro M. S. Monteiro, David R. Munro, Akihiko Murata, Timothy Newberger, Abdirahman M. Omar, Tsuneo Ono, Kristina Paterson, David Pearce, Denis Pierrot, Lisa L. Robbins, Shu Saito, Joe Salisbury, Reiner Schlitzer, Bernd Schneider, Roland Schweitzer, Rainer Sieger, Ingunn Skjelvan, Kevin F. Sullivan, Stewart C. Sutherland, Adrienne J. Sutton, Kazuaki Tadokoro, Maciej Telszewski, Matthias Tuma, Steven M. A. C. van Heuven, Doug Vandemark, Brian Ward, Andrew J. Watson, and Suqing Xu
Earth Syst. Sci. Data, 8, 383–413, https://doi.org/10.5194/essd-8-383-2016, https://doi.org/10.5194/essd-8-383-2016, 2016
Short summary
Short summary
Version 3 of the Surface Ocean CO2 Atlas (www.socat.info) has 14.5 million CO2 (carbon dioxide) values for the years 1957 to 2014 covering the global oceans and coastal seas. Version 3 is an update to version 2 with a longer record and 44 % more CO2 values. The CO2 measurements have been made on ships, fixed moorings and drifting buoys. SOCAT enables quantification of the ocean carbon sink and ocean acidification, as well as model evaluation, thus informing climate negotiations.
Are Olsen, Robert M. Key, Steven van Heuven, Siv K. Lauvset, Anton Velo, Xiaohua Lin, Carsten Schirnick, Alex Kozyr, Toste Tanhua, Mario Hoppema, Sara Jutterström, Reiner Steinfeldt, Emil Jeansson, Masao Ishii, Fiz F. Pérez, and Toru Suzuki
Earth Syst. Sci. Data, 8, 297–323, https://doi.org/10.5194/essd-8-297-2016, https://doi.org/10.5194/essd-8-297-2016, 2016
Short summary
Short summary
The GLODAPv2 data product collects data from more than 700 hydrographic cruises into a global and internally calibrated product. It provides access to the data from almost all ocean carbon cruises carried out since the 1970s and is a unique resource for marine science, in particular regarding the ocean carbon cycle. GLODAPv2 will form the foundation for future routine synthesis of hydrographic data of the same sort.
Siv K. Lauvset, Robert M. Key, Are Olsen, Steven van Heuven, Anton Velo, Xiaohua Lin, Carsten Schirnick, Alex Kozyr, Toste Tanhua, Mario Hoppema, Sara Jutterström, Reiner Steinfeldt, Emil Jeansson, Masao Ishii, Fiz F. Perez, Toru Suzuki, and Sylvain Watelet
Earth Syst. Sci. Data, 8, 325–340, https://doi.org/10.5194/essd-8-325-2016, https://doi.org/10.5194/essd-8-325-2016, 2016
Short summary
Short summary
This paper describes the mapped climatologies that are part of the Global Ocean Data Analysis Project Version 2 (GLODAPv2). GLODAPv2 is a uniformly calibrated open ocean data product on inorganic carbon and carbon-relevant variables. Global mapped climatologies of the total dissolved inorganic carbon, total alkalinity, pH, saturation state of calcite and aragonite, anthropogenic carbon, preindustrial carbon content, inorganic macronutrients, oxygen, salinity, and temperature have been created.
Matthew P. Humphreys, Florence M. Greatrix, Eithne Tynan, Eric P. Achterberg, Alex M. Griffiths, Claudia H. Fry, Rebecca Garley, Alison McDonald, and Adrian J. Boyce
Earth Syst. Sci. Data, 8, 221–233, https://doi.org/10.5194/essd-8-221-2016, https://doi.org/10.5194/essd-8-221-2016, 2016
Short summary
Short summary
This paper reports the stable isotope composition of dissolved inorganic carbon in seawater for a transect from west to east across the North Atlantic Ocean. The results can be used to study oceanic uptake of anthropogenic carbon dioxide, and also to investigate the natural biological carbon pump. We also provide stable DIC isotope results for two batches of Dickson seawater CRMs to enable intercomparisons with other studies.
S. de Villiers, K. Siswana, and K. Vena
Earth Syst. Sci. Data, 7, 415–422, https://doi.org/10.5194/essd-7-415-2015, https://doi.org/10.5194/essd-7-415-2015, 2015
Short summary
Short summary
A "young" warm-core eddy and an "older" warm-core eddy further south were surveyed in the Southern Ocean to study differences in their heat, salt and nutrient characteristics. Results show that warm eddies that migrate from the polar front further south lose heat but gain dissolved silicate and exhibit much higher levels of chlorophyll-a. This demonstrates important heat and nutrient exchange processes associated with eddy transport in the ocean.
A. J. Sutton, C. L. Sabine, S. Maenner-Jones, N. Lawrence-Slavas, C. Meinig, R. A. Feely, J. T. Mathis, S. Musielewicz, R. Bott, P. D. McLain, H. J. Fought, and A. Kozyr
Earth Syst. Sci. Data, 6, 353–366, https://doi.org/10.5194/essd-6-353-2014, https://doi.org/10.5194/essd-6-353-2014, 2014
Short summary
Short summary
In an effort to track ocean change, sustained ocean observations are becoming increasingly important. Advancements in the ocean carbon observation network over the last decade have dramatically improved our ability to understand how rising atmospheric CO2 and climate change affect the chemistry of the oceans and their marine ecosystems. Here we describe one of those advancements, the MAPCO2 system, and the climate-quality data produced from 14 ocean CO2 observatories.
U. Schuster, A. J. Watson, D. C. E. Bakker, A. M. de Boer, E. M. Jones, G. A. Lee, O. Legge, A. Louwerse, J. Riley, and S. Scally
Earth Syst. Sci. Data, 6, 175–183, https://doi.org/10.5194/essd-6-175-2014, https://doi.org/10.5194/essd-6-175-2014, 2014
K. E. Giesbrecht, L. A. Miller, M. Davelaar, S. Zimmermann, E. Carmack, W. K. Johnson, R. W. Macdonald, F. McLaughlin, A. Mucci, W. J. Williams, C. S. Wong, and M. Yamamoto-Kawai
Earth Syst. Sci. Data, 6, 91–104, https://doi.org/10.5194/essd-6-91-2014, https://doi.org/10.5194/essd-6-91-2014, 2014
D. C. E. Bakker, B. Pfeil, K. Smith, S. Hankin, A. Olsen, S. R. Alin, C. Cosca, S. Harasawa, A. Kozyr, Y. Nojiri, K. M. O'Brien, U. Schuster, M. Telszewski, B. Tilbrook, C. Wada, J. Akl, L. Barbero, N. R. Bates, J. Boutin, Y. Bozec, W.-J. Cai, R. D. Castle, F. P. Chavez, L. Chen, M. Chierici, K. Currie, H. J. W. de Baar, W. Evans, R. A. Feely, A. Fransson, Z. Gao, B. Hales, N. J. Hardman-Mountford, M. Hoppema, W.-J. Huang, C. W. Hunt, B. Huss, T. Ichikawa, T. Johannessen, E. M. Jones, S. D. Jones, S. Jutterström, V. Kitidis, A. Körtzinger, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. B. Manke, J. T. Mathis, L. Merlivat, N. Metzl, A. Murata, T. Newberger, A. M. Omar, T. Ono, G.-H. Park, K. Paterson, D. Pierrot, A. F. Ríos, C. L. Sabine, S. Saito, J. Salisbury, V. V. S. S. Sarma, R. Schlitzer, R. Sieger, I. Skjelvan, T. Steinhoff, K. F. Sullivan, H. Sun, A. J. Sutton, T. Suzuki, C. Sweeney, T. Takahashi, J. Tjiputra, N. Tsurushima, S. M. A. C. van Heuven, D. Vandemark, P. Vlahos, D. W. R. Wallace, R. Wanninkhof, and A. J. Watson
Earth Syst. Sci. Data, 6, 69–90, https://doi.org/10.5194/essd-6-69-2014, https://doi.org/10.5194/essd-6-69-2014, 2014
T. McGrath, C. Kivimäe, E. McGovern, R. R. Cave, and E. Joyce
Earth Syst. Sci. Data, 5, 375–383, https://doi.org/10.5194/essd-5-375-2013, https://doi.org/10.5194/essd-5-375-2013, 2013
T. Tanhua, D. Hainbucher, V. Cardin, M. Álvarez, G. Civitarese, A. P. McNichol, and R. M. Key
Earth Syst. Sci. Data, 5, 289–294, https://doi.org/10.5194/essd-5-289-2013, https://doi.org/10.5194/essd-5-289-2013, 2013
B. Pfeil, A. Olsen, D. C. E. Bakker, S. Hankin, H. Koyuk, A. Kozyr, J. Malczyk, A. Manke, N. Metzl, C. L. Sabine, J. Akl, S. R. Alin, N. Bates, R. G. J. Bellerby, A. Borges, J. Boutin, P. J. Brown, W.-J. Cai, F. P. Chavez, A. Chen, C. Cosca, A. J. Fassbender, R. A. Feely, M. González-Dávila, C. Goyet, B. Hales, N. Hardman-Mountford, C. Heinze, M. Hood, M. Hoppema, C. W. Hunt, D. Hydes, M. Ishii, T. Johannessen, S. D. Jones, R. M. Key, A. Körtzinger, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. Lenton, A. Lourantou, L. Merlivat, T. Midorikawa, L. Mintrop, C. Miyazaki, A. Murata, A. Nakadate, Y. Nakano, S. Nakaoka, Y. Nojiri, A. M. Omar, X. A. Padin, G.-H. Park, K. Paterson, F. F. Perez, D. Pierrot, A. Poisson, A. F. Ríos, J. M. Santana-Casiano, J. Salisbury, V. V. S. S. Sarma, R. Schlitzer, B. Schneider, U. Schuster, R. Sieger, I. Skjelvan, T. Steinhoff, T. Suzuki, T. Takahashi, K. Tedesco, M. Telszewski, H. Thomas, B. Tilbrook, J. Tjiputra, D. Vandemark, T. Veness, R. Wanninkhof, A. J. Watson, R. Weiss, C. S. Wong, and H. Yoshikawa-Inoue
Earth Syst. Sci. Data, 5, 125–143, https://doi.org/10.5194/essd-5-125-2013, https://doi.org/10.5194/essd-5-125-2013, 2013
C. L. Sabine, S. Hankin, H. Koyuk, D. C. E. Bakker, B. Pfeil, A. Olsen, N. Metzl, A. Kozyr, A. Fassbender, A. Manke, J. Malczyk, J. Akl, S. R. Alin, R. G. J. Bellerby, A. Borges, J. Boutin, P. J. Brown, W.-J. Cai, F. P. Chavez, A. Chen, C. Cosca, R. A. Feely, M. González-Dávila, C. Goyet, N. Hardman-Mountford, C. Heinze, M. Hoppema, C. W. Hunt, D. Hydes, M. Ishii, T. Johannessen, R. M. Key, A. Körtzinger, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. Lenton, A. Lourantou, L. Merlivat, T. Midorikawa, L. Mintrop, C. Miyazaki, A. Murata, A. Nakadate, Y. Nakano, S. Nakaoka, Y. Nojiri, A. M. Omar, X. A. Padin, G.-H. Park, K. Paterson, F. F. Perez, D. Pierrot, A. Poisson, A. F. Ríos, J. Salisbury, J. M. Santana-Casiano, V. V. S. S. Sarma, R. Schlitzer, B. Schneider, U. Schuster, R. Sieger, I. Skjelvan, T. Steinhoff, T. Suzuki, T. Takahashi, K. Tedesco, M. Telszewski, H. Thomas, B. Tilbrook, D. Vandemark, T. Veness, A. J. Watson, R. Weiss, C. S. Wong, and H. Yoshikawa-Inoue
Earth Syst. Sci. Data, 5, 145–153, https://doi.org/10.5194/essd-5-145-2013, https://doi.org/10.5194/essd-5-145-2013, 2013
C. L. Sabine, M. Hoppema, R. M. Key, B. Tilbrook, S. van Heuven, C. Lo Monaco, N. Metzl, M. Ishii, A. Murata, and S. Musielewicz
Earth Syst. Sci. Data, 2, 195–204, https://doi.org/10.5194/essd-2-195-2010, https://doi.org/10.5194/essd-2-195-2010, 2010
D. Pierrot, P. Brown, S. Van Heuven, T. Tanhua, U. Schuster, R. Wanninkhof, and R. M. Key
Earth Syst. Sci. Data, 2, 177–187, https://doi.org/10.5194/essd-2-177-2010, https://doi.org/10.5194/essd-2-177-2010, 2010
A. Velo, F. F. Pérez, X. Lin, R. M. Key, T. Tanhua, M. de la Paz, A. Olsen, S. van Heuven, S. Jutterström, and A. F. Ríos
Earth Syst. Sci. Data, 2, 133–155, https://doi.org/10.5194/essd-2-133-2010, https://doi.org/10.5194/essd-2-133-2010, 2010
E. Falck and A. Olsen
Earth Syst. Sci. Data, 2, 123–131, https://doi.org/10.5194/essd-2-123-2010, https://doi.org/10.5194/essd-2-123-2010, 2010
R. M. Key, T. Tanhua, A. Olsen, M. Hoppema, S. Jutterström, C. Schirnick, S. van Heuven, A. Kozyr, X. Lin, A. Velo, D. W. R. Wallace, and L. Mintrop
Earth Syst. Sci. Data, 2, 105–121, https://doi.org/10.5194/essd-2-105-2010, https://doi.org/10.5194/essd-2-105-2010, 2010
J. Olafsson, S. R. Olafsdottir, A. Benoit-Cattin, and T. Takahashi
Earth Syst. Sci. Data, 2, 99–104, https://doi.org/10.5194/essd-2-99-2010, https://doi.org/10.5194/essd-2-99-2010, 2010
C. Lo Monaco, M. Álvarez, R. M. Key, X. Lin, T. Tanhua, B. Tilbrook, D. C. E. Bakker, S. van Heuven, M. Hoppema, N. Metzl, A. F. Ríos, C. L. Sabine, and A. Velo
Earth Syst. Sci. Data, 2, 51–70, https://doi.org/10.5194/essd-2-51-2010, https://doi.org/10.5194/essd-2-51-2010, 2010
I. Stendardo, N. Gruber, and A. Körtzinger
Earth Syst. Sci. Data, 1, 87–100, https://doi.org/10.5194/essd-1-87-2009, https://doi.org/10.5194/essd-1-87-2009, 2009
M. Hoppema, A. Velo, S. van Heuven, T. Tanhua, R. M. Key, X. Lin, D. C. E. Bakker, F. F. Perez, A. F. Ríos, C. Lo Monaco, C. L. Sabine, M. Álvarez, and R. G. J. Bellerby
Earth Syst. Sci. Data, 1, 63–75, https://doi.org/10.5194/essd-1-63-2009, https://doi.org/10.5194/essd-1-63-2009, 2009
Cited articles
Adelsman, H. and Binder, L. W.: Washington State Blue Ribbon Panel on Ocean Acidification (2012): Ocean Acidification: From Knowledge to Action, Washington State's Strategic Response, Washington Department of Ecology, Olympia, Washington, USA, 2012.
Alford, M. H. and MacCready, P.: Flow and mixing in Juan de Fuca Canyon, Washington, Geophys. Res. Lett., 41, 1608–1615, https://doi.org/10.1002/2013GL058967, 2014.
Alin, S. R., Brainard, R., Price, N., Newton, J. A., Cohen, A., Peterson, W., DeCarlo, E., Shadwick, E., Noakes, S., and Bednaršek, N.: Characterizing the Natural System: Toward Sustained, Integrated Coastal Ocean Acidification Observing Networks to Facilitate Resource Management and Decision Support, Oceanography, 25, 92–107, https://doi.org/10.5670/oceanog.2015.34, 2015.
Andersson, A. J. and Mackenzie, F. T.: Revisiting four scientific debates in ocean acidification research, Biogeosciences, 9, 893–905, https://doi.org/10.5194/bg-9-893-2012, 2012.
Bakker, D. C. E., Pfeil, B., Landa, C. S., Metzl, N., O'Brien, K. M., Olsen, A., Smith, K., Cosca, C., Harasawa, S., Jones, S. D., Nakaoka, S.-I., Nojiri, Y., Schuster, U., Steinhoff, T., Sweeney, C., Takahashi, T., Tilbrook, B., Wada, C., Wanninkhof, R., Alin, S. R., Balestrini, C. F., Barbero, L., Bates, N. R., Bianchi, A. A., Bonou, F., Boutin, J., Bozec, Y., Burger, E. F., Cai, W.-J., Castle, R. D., Chen, L., Chierici, M., Currie, K., Evans, W., Featherstone, C., Feely, R. A., Fransson, A., Goyet, C., Greenwood, N., Gregor, L., Hankin, S., Hardman-Mountford, N. J., Harlay, J., Hauck, J., Hoppema, M., Humphreys, M. P., Hunt, C. W., Huss, B., Ibánhez, J. S. P., Johannessen, T., Keeling, R., Kitidis, V., Körtzinger, A., Kozyr, A., Krasakopoulou, E., Kuwata, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Lo Monaco, C., Manke, A., Mathis, J. T., Merlivat, L., Millero, F. J., Monteiro, P. M. S., Munro, D. R., Murata, A., Newberger, T., Omar, A. M., Ono, T., Paterson, K., Pearce, D., Pierrot, D., Robbins, L. L., Saito, S., Salisbury, J., Schlitzer, R., Schneider, B., Schweitzer, R., Sieger, R., Skjelvan, I., Sullivan, K. F., Sutherland, S. C., Sutton, A. J., Tadokoro, K., Telszewski, M., Tuma, M., van Heuven, S. M. A. C., Vandemark, D., Ward, B., Watson, A. J., and Xu, S.: A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT), Earth Syst. Sci. Data, 8, 383–413, https://doi.org/10.5194/essd-8-383-2016, 2016b.
Barton, A., Hales, B., Waldbusser, G. G., Langdon, C., and Feely, R. A.: The Pacific oyster, Crassostrea gigas, shows negative correlation to naturally elevated carbon dioxide levels: Implications for near-term ocean acidification effects, Limnol. Oceanogr., 57, 698–710, https://doi.org/10.4319/lo.2012.57.3.0698, 2012.
Barton, A., Waldbusser, G. G., Feely, R. A., Weisberg, S. B., Newton, J. A., Hales, B., Cudd, S., Eudeline, B., Langdon, C., Jefferds, I., King, T., Suhrbier, A., and McLauglin, K.: Impacts of Coastal Acidification on the Pacific Northwest Shellfish Industry and Adaptation Strategies Implemented in Response, Oceanography, 25, 146–159, https://doi.org/10.5670/oceanog.2015.38, 2015.
Bates, N., Astor, Y., Church, M. J., Currie, K., Dore, J., Gonaález-Dávila, M., Lorenzoni, L., Muller-Karger, F., Olafsson, J. and Santana-Casiano, J. M.: A time-series view of changing ocean chemistry due to ocean uptake of anthropogenic CO2 and ocean acidification, Oceanography, 27, 126–141, https://doi.org/10.5670/oceanog.2014.16, 2014.
Bauer, J. E., Cai, W.-J., Raymond, P. A., Bianchi, T. S., Hopkinson, C. S., and Regnier, P. A. G.: The changing carbon cycle of the coastal ocean, Nature, 504, 61–70, https://doi.org/10.1038/nature12857, 2013.
Bednaršek, N., Feely, R. A., Reum, J. C. P., Peterson, B., Menkel, J., Alin, S. R., and Hales, B.: Limacina helicina shell dissolution as an indicator of declining habitat suitability owing to ocean acidification in the California Current Ecosystem, P. Roy. Soc. B-Biol. Sci., 281, 20140123, https://doi.org/10.1098/rspb.2014.0123, 2014.
Bednaršek, N., Klinger, T., Harvey, C. J., Weisberg, S. B., McCabe, R. M., Feely, R. A., Newton, J., and Tolimieri, N.: New ocean, new needs: Application of pteropod shell dissolution as a biological indicator for marine resource management, Ecol. Indic., 76, 240–244, https://doi.org/10.1016/j.ecolind.2017.01.025, 2017.
Boehm, A. B. A., Jacobson, M. Z. M., O'Donnell, M., Sutula, M., Wakefield, W. W., Weisberg, S. B., and Whiteman, E.: Ocean Acidification Science Needs for Natural Resource Managers of the North American West Coast, Oceanography, 25, 170–181, https://doi.org/10.5670/oceanog.2015.40, 2015.
Borges, A. V.: Present Day Carbon Dioxide Fluxes in the Coastal Ocean and Possible Feedbacks Under Global Change, in: Oceans and the Atmospheric Carbon Content, edited by: Duarte, P. and Santana-Casiano, J. M., Springer, Dordrecht, the Netherlands, 47–77, 2011.
Bos, J., Krembs, C., and Albertson, S.: Quality Assurance for Long-Term Marine Water Column pH Data, 16-03-042, available at: https://fortress.wa.gov/ecy/publications/SummaryPages/1603042.html (last access: 14 December 2017), 2016.
Bresnahan, P. J., Martz, T. R., Takeshita, Y., Johnson, K. S., and LaShomb, M.: Best practices for autonomous measurement of seawater pH with the Honeywell Durafet, Methods Oceanogr., 9, 44–60, https://doi.org/10.1016/j.mio.2014.08.003, 2014.
Brewer, P. G.: Direct Observation of the Oceanic CO2 Increase, Geophys. Res. Lett., 5, 12, https://doi.org/10.1029/GL005i012p00997, 1978.
Broecker, W. S., Takahashi, T., Simpson, H. J., and Peng, T.-H.: Fate of fossil fuel carbon dioxide and the global carbon budget., Science, 206, 409–18, https://doi.org/10.1126/science.206.4417.409, 1979.
Byrne, R. H., Mecking, S., Feely, R. A., and Liu, X.: Direct observations of basin-wide acidification of the North Pacific Ocean, Geophys. Res. Lett., 37, 1–5, https://doi.org/10.1029/2009GL040999, 2010.
Cai, W.-J., Hu, X., Huang, W.-J., Murrell, M. C., Lehrter, J. C., Lohrenz, S. E., Chou, W.-C., Zhai, W., Hollibaugh, J. T., Wang, Y., Zhao, P., Guo, X., Gundersen, K., Dai, M., and Gong, G.-C.: Acidification of subsurface coastal waters enhanced by eutrophication, Nat. Geosci., 4, 766–770, https://doi.org/10.1038/ngeo1297, 2011.
Caldeira, K. and Wickett, M. E.: Anthropogenic Carbon and Ocean pH, Nature, 425, 365–365, https://doi.org/10.1038/425365a, 2003.
Dickson, A. G.: An exact definition of total alkalinity and a procedure for the estimation of alkalinity and total inorganic carbon from titration data, Deep-Sea Res., 28, 609–623, https://doi.org/10.1016/0198-0149(81)90121-7, 1981.
Dickson, A. G.: Standard potential of the reaction?: AgCl(s) + 1/2H2(g) = Ag(s) + HCl(aq), and the standard acidity constant of the ion HSO4− in synthetic sea water from 273.15 to 318.15 K, J. Chem. Thermodyn., 22, 113–127, 1990.
Dickson, A. G. and Riley, J.: The effect of analytical error on the evaluation of the components of the aquatic carbon-dioxide system, Mar. Chem., 6, 77–85, https://doi.org/10.1016/0304-4203(78)90008-7, 1978.
Dickson, A. G., Sabine, C. L., and Christian, J. R.: Guide to best practices for ocean CO2 measurements, PICES Special Publication 3, 191 pp., available at: http://cdiac.ornl.gov/oceans/Handbook_2007.html (last access: 14 December 2017), 2007.
Doney, S. C., Fabry, V. J., Feely, R. A., and Kleypas, J. A.: Ocean acidification: the other CO2 problem, Ann. Rev. Mar. Sci., 1, 169–192, https://doi.org/10.1146/annurev.marine.010908.163834, 2009.
Dunne, J. P., Devol, A. H., and Emerson, S.: The Oceanic Remote Chemical/Optical Analyzer (ORCA) – An Autonomous Moored Profiler, J. Atmos. Ocean. Tech., 19, 1709–1721, https://doi.org/10.1175/1520-0426(2002)019<1709:TORCOA>2.0.CO;2, 2002.
Ekstrom, J. A., Suatoni, L., Cooley, S. R., Pendleton, L. H., Waldbusser, G. G., Cinner, J. E., Ritter, J., Langdon, C., van Hooidonk, R., Gledhill, D. K., Wellman, K., Beck, M. W., Brander, L. M., Rittschof, D., Doherty, C., Edwards, P. E. T. and Portela, R.: Vulnerability and adaptation of US shellfisheries to ocean acidification, Nat. Clim. Change, 5, 207–214, https://doi.org/10.1038/nclimate2508, 2015.
Evans, W., Hales, B., and Strutton, P. G.: Seasonal cycle of surface ocean pCO2 on the Oregon shelf, J. Geophys. Res., 116, 260–272, https://doi.org/10.1029/2010JC006625, 2011.
Evans, W., Hales, B., and Strutton, P. G.: pCO2 distributions and air-water CO2, Estuar. Coast. Shelf S., 117, 260–272, https://doi.org/10.1016/j.ecss.2012.12.003, 2013.
Fassbender, A. J., Sabine, C. L., Lawrence-Slavas, N., De Carlo, E. H. H., Meinig, C., Maenner-Jones, S., and Maenner Jones, S.: Robust Sensor for Extended Autonomous Measurements of Surface Ocean Dissolved Inorganic Carbon, Environ. Sci. Technol., 49, 3628–3635, https://doi.org/10.1021/es5047183, 2015.
Fassbender, A. J., Sabine, C. L., and Feifel, K. M.: Consideration of coastal carbonate chemistry in understanding biological calcification, Geophys. Res. Lett., 43, 4467–4476, https://doi.org/10.1002/2016GL068860, 2016.
Fassbender, A. J., Alin, S. R., Feely, R. A., Sutton, A. J., Newton, J. A., and Byrne, R. H.: Estimating Total Alkalinity in the Washington State Coastal Zone: Complexities and Surprising Utility for Ocean Acidification Research, Estuar. Coast., 40, 404–418, https://doi.org/10.1007/s12237-016-0168-z, 2017a.
Fassbender, A. J., Sabine, C. L., and Palevsky, H. I.: Nonuniform ocean acidification and attenuation of the ocean carbon sink, Geophys. Res. Lett., 44, 8404–8413, https://doi.org/10.1002/2017GL074389, 2017b.
Fassbender, A. J., Alin, S. R., Feely, R. A., Sutton, A. J., Newton, J. A., Krembs, C., Bos, J., Keyzers, M., Devol, A., Ruef, W., and Pelletier, G.: Seasonal Carbonate Chemistry Variability in Marine Surface Waters of the Pacific Northwest, Data Archive, (Version 1.0) [Data set], Zenodo, https://doi.org/10.5281/zenodo.1184657, 2018.
Feely, R. A., Sabine, C. L., Lee, K., Berelson, W. M., Kleypas, J. A., Fabry, V. J., and Millero, F. J.: Impact of anthropogenic CO2 on the CaCO3 system in the oceans., Science, 305, 362–366, https://doi.org/10.1126/science.1097329, 2004.
Feely, R. A., Sabine, C. L., Hernandez-Ayon, J. M., Ianson, D., and Hales, B.: Evidence for Upwelling of Corrosive “Acidified” Water onto the Continental Shelf, Science, 320, 1490–1492, https://doi.org/10.1126/science.1155676, 2008.
Feely, R. A., Doney, S. C., and Cooley, S. R.: Ocean Acidification: Present Conditions and Future Changes in a High-CO2 World, Oceanography, 22, 36–47, https://doi.org/10.5670/oceanog.2009.95, 2009.
Feely, R. A., Alin, S. R., Newton, J. A., Sabine, C. L., Warner, M. J., Devol, A., Krembs, C., and Maloy, C.: The combined effects of ocean acidification, mixing, and respiration on pH and carbonate saturation in an urbanized estuary, Estuar. Coast. Shelf S., 88, 442–449, https://doi.org/10.1016/j.ecss.2010.05.004, 2010.
Feely, R. A., Alin, S. R., Hales, B., Johnson, G. C., Byrne, R. H., Peterson, W. T., Liu, X., and Greeley, D.: Dissolved inorganic carbon, total alkalinity, pH and other variables collected from profile and discrete sample observations using CTD, Niskin bottle, and other instruments from NOAA Ship Fairweather and the R/V Point Sur in the U.S. West Coast California Current System during the 2013 West Coast Ocean Acidification Cruise (WCOA2013) from 2013-08-05 to 2013-08-28 (NCEI Accession 0132082), Version 3.3, NOAA National Centers for Environmental Information. Dataset, https://doi.org/10.7289/V5C53HXP (last access: 19 July 2018), 2015a.
Feely, R. A., Alin, S. R., Hales, B., Johnson, G. C., Juranek, L. W., Byrne, R. H., Peterson, W. T., Goni, M., Liu, X., and Greeley, D.: Dissolved inorganic carbon, total alkalinity, pH, temperature, salinity and other variables collected from profile and discrete sample observations using CTD, Niskin bottle, and other instruments from R/V Wecoma in the U.S. West Coast California Current System during the 2011 West Coast Ocean Acidification Cruise (WCOA2011) from 2011-08-12 to 2011-08-30 (NODC Accession 0123467). Version 2.2. National Oceanographic Data Center, NOAA. Dataset, https://doi.org/10.7289/V5JQ0XZ1 (last access: 26 July 2018), 2015b.
Feely, R. A., Alin, S. R., Hales, B., Johnson, G. C., Juranek, L. W., Byrne, R. H., Peterson, W. T., and Greeley, D.: Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from NOAA Ship Bell M. Shimada in the Columbia River estuary – Washington/Oregon, Gulf of the Farallones National Marine Sanctuary and others from 2012-09-04 to 2012-09-17 (NCEI Accession 0157445), Version 1.1. NOAA National Centers for Environmental Information, Dataset, https://www.nodc.noaa.gov/ocads/data/0157445.xml (last access: 19 July 2018), 2016a.
Feely, R. A., Alin, S. R., Carter, B., Bednaršek, N., Hales, B., Chan, F., Hill, T. M., Gaylord, B., Sanford, E., Byrne, R. H., Sabine, C. L., Greeley, D., and Juranek, L.: Chemical and biological impacts of ocean acidification along the west coast of North America, Estuar. Coast. Shelf S., 183, 260–270, https://doi.org/10.1016/j.ecss.2016.08.043, 2016b.
Gray, S. E. C., DeGrandpre, M. D., Moore, T. S., Martz, T. R., Friederich, G. E., and Johnson, K. S.: Applications of in situ pH measurements for inorganic carbon calculations, Mar. Chem., 125, 82–90, https://doi.org/10.1016/j.marchem.2011.02.005, 2011.
Harris, K.: Aragonite saturation state dynamics in a coastal upwelling zone, Geophys. Res., 40, 2720–2725, https://doi.org/10.1002/grl.50460, 2013.
Hauri, C., Gruber, N., Vogt, M., Doney, S. C., Feely, R. A., Lachkar, Z., Leinweber, A., McDonnell, A. M. P., Munnich, M., and Plattner, G.-K.: Spatiotemporal variability and long-term trends of ocean acidification in the California Current System, Biogeosciences, 10, 193–216, https://doi.org/10.5194/bg-10-193-2013, 2013.
Hickey, B. M. and Banas, N. S.: Why is the Northern End of the California Current System So Productive?, Oceanography, 21, 90–107, 2008.
Hofmann, G. E., Smith, J. E., Johnson, K. S., Send, U., Levin, L. A., Micheli, F., Paytan, A., Price, N. N., Peterson, B., Takeshita, Y., Matson, P. G., Crook, E. D., Kroeker, K. J., Gambi, M. C., Rivest, E. B., Frieder, C. A., Yu, P. C., and Martz, T. R.: High-Frequency Dynamics of Ocean pH: A Multi-Ecosystem Comparison, edited by: Chin, W.-C., PLoS One, 6, e28983, https://doi.org/10.1371/journal.pone.0028983, 2011.
Johnson, K. M., Dickson, A. G., Eischeid, G., Goyet, C., Guenther, P., Key, R. M., Millero, F. J., Purkerson, D., Sabine, C. L., Schottle, R. G., Wallace, D. W. R., Wilke, R. J., and Winn, C. D.: Coulometric total carbon dioxide analysis for marine studies: assessment of the quality of total inorganic carbon measurements made during the US Indian Ocean CO2 Survey 1994–1996, Mar. Chem., 63, 21–37, https://doi.org/10.1016/S0304-4203(98)00048-6, 1998.
Keyzers, M.: Quality Assurance Project Plan: Puget Sound Total Alkalinity and Dissolved Inorganic Carbon Pilot Project, Olympia, Washington, USA, available at: https://fortress.wa.gov/ecy/publications/documents/1403116.pdf (last access: 14 December 2017), 2014.
Keyzers, M.: Puget Sound Total Alkalinity and Dissolved Inorganic Carbon Pilot Project: Feasibility Report, Olympia, Washington, USA, available at: https://fortress.wa.gov/ecy/publications/documents/1603032.pdf (last access: 14 December 2017), 2016.
Lewis, E. and Wallace, D. W. R.: MATLAB Program Developed for CO2 System Calculations. ORNL/CDIAC-105., Carbon Dioxide Inf. Anal. Center, Oak Ridge Natl. Lab. US Dep. Energy, Oak Ridge, Tennessee, USA, 1998.
Liu, X., Patsavas, M. C., and Byrne, R. H.: Purification and characterization of meta-cresol purple for spectrophotometric seawater pH measurements., Environ. Sci. Technol., 45, 4862–4868, https://doi.org/10.1021/es200665d, 2011.
Lueker, T. J., Dickson, A. G., and Keeling, C. D.: Ocean pCO2 calculated from dissolved inorganic carbon, alkalinity, and equations for K1 and K2: validation based on laboratory measurements of CO2 in gas and seawater at equilibrium, Mar. Chem., 70, 105–119, https://doi.org/10.1016/S0304-4203(00)00022-0, 2000.
Martin, W. D. and MacCready, P.: Influence of large-scale tidal asymmetry on subtidal dynamics in the western Strait of Juan de Fuca, J. Geophys. Res., 116, C02009, https://doi.org/10.1029/2010JC006363, 2011.
Martz, T., Mclaughlin, K., and Weisberg, S. B.: California Current Acidification Network Best Practices for autonomous measurement of seawater pH with the Honeywell Durafet pH sensor, available at: ftp://ftp.sccwrp.org/pub/download/DOCUMENTS/TechnicalReports/861_CCAN_Durafet_Best_Practices_Manual.pdf (last access: 14 December 2017), 2015.
McElhany, P. and Shallin Busch, D.: Appropriate pCO2 treatments in ocean acidification experiments, Mar. Biol., 160, 1807–1812, https://doi.org/10.1007/s00227-012-2052-0, 2013.
Millero, F. J.: The Marine Inorganic Carbon Cycle, Chem. Rev., 107, 308–341, https://doi.org/10.1021/cr0503557, 2007.
Millero, F. J., Zhang, J.-Z., Lee, K., and Campbell, D. M.: Titration alkalinity of seawater, Mar. Chem., 44, 153–165, https://doi.org/10.1016/0304-4203(93)90200-8, 1993.
Moore-Maley, B. L., Ianson, D., and Allen, S. E.: The sensitivity of estuarine aragonite saturation state and pH to the carbonate chemistry of a freshet-dominated river, Biogeosciences, 15, 3743–3760, https://doi.org/10.5194/bg-15-3743-2018, 2018.
Mucci, A.: The solubility of calcite and aragonite in seawater at various salinities, temperatures, and one atmosphere total pressure, Am. J. Sci., 283, 780–799, https://doi.org/10.2475/ajs.283.7.780, 1983.
Newton, J. A. and Devol, A. H.: Quality Assurance Project Plan: Long-term, High Resolution Marine Water Quality Monitoring in Puget Sound using Profiling Buoys, 2012–2013 Activities, available at: http://orcabase.ocean.washington.edu/ORCA_QAPP.pdf (last access: 14 December 2017), 2012.
Newton, J. A., Siegel, E., and Albertson, S. L.: Oceanographic Changes in Puget Sound and the Strait of Juan de Fuca during the 2000–01 Drought, Can. Water Resour. J., 28, 715–728, https://doi.org/10.4296/cwrj2804715, 2003.
Orr, J. C., Epitalon, J.-M., and Gattuso, J.-P.: Comparison of ten packages that compute ocean carbonate chemistry, Biogeosciences, 12, 1483–1510, https://doi.org/10.5194/bg-12-1483-2015, 2015.
Pelletier, G., Bianucci, L., Long, W., Khangaonkar, T., Mohamedali, T., Ahmed, A., and Figueroa-Kaminsky, C.: Salish Sea Model: Ocean Acidification Module and the Response to Regional Anthropogenic Nutrient Sources, available at: https://fortress.wa.gov/ecy/publications/SummaryPages/1703009.html, last access: 14 December 2017.
Pelletier, G., Roberts, M., Keyzers, M., and Alin, S. R.: Seasonal variation in aragonite saturation in surface waters of Puget Sound – a pilot study, Elem. Sci. Anth., 6, 5, https://doi.org/10.1525/elementa.270, 2018.
Pfeil, B., Olsen, A., Bakker, D. C. E., Hankin, S., Koyuk, H., Kozyr, A., Malczyk, J., Manke, A., Metzl, N., Sabine, C. L., Akl, J., Alin, S. R., Bates, N., Bellerby, R. G. J., Borges, A., Boutin, J., Brown, P. J., Cai, W.-J., Chavez, F. P., Chen, A., Cosca, C., Fassbender, A. J., Feely, R. A., González-Dávila, M., Goyet, C., Hales, B., Hardman-Mountford, N., Heinze, C., Hood, M., Hoppema, M., Hunt, C. W., Hydes, D., Ishii, M., Johannessen, T., Jones, S. D., Key, R. M., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Lenton, A., Lourantou, A., Merlivat, L., Midorikawa, T., Mintrop, L., Miyazaki, C., Murata, A., Nakadate, A., Nakano, Y., Nakaoka, S., Nojiri, Y., Omar, A. M., Padin, X. A., Park, G.-H., Paterson, K., Perez, F. F., Pierrot, D., Poisson, A., Ríos, A. F., Santana-Casiano, J. M., Salisbury, J., Sarma, V. V. S. S., Schlitzer, R., Schneider, B., Schuster, U., Sieger, R., Skjelvan, I., Steinhoff, T., Suzuki, T., Takahashi, T., Tedesco, K., Telszewski, M., Thomas, H., Tilbrook, B., Tjiputra, J., Vandemark, D., Veness, T., Wanninkhof, R., Watson, A. J., Weiss, R., Wong, C. S., and Yoshikawa-Inoue, H.: A uniform, quality controlled Surface Ocean CO2 Atlas (SOCAT), Earth Syst. Sci. Data, 5, 125–143, https://doi.org/10.5194/essd-5-125-2013, 2013.
Raymond, P. A. and Cole, J. J.: Increase in the Export of Alkalinity from North America's Largest River, Science, 301, 88–91, https://doi.org/10.1126/science.1083788, 2003.
Raymond, P. A., Oh, N.-H., Turner, R. E., and Broussard, W.: Anthropogenically enhanced fluxes of water and carbon from the Mississippi River, Nature, 451, 449–452, https://doi.org/10.1038/nature06505, 2008.
Regnier, P., Friedlingstein, P., Ciais, P., Mackenzie, F. T., Gruber, N., Janssens, I. A., Laruelle, G. G., Lauerwald, R., Luyssaert, S., Andersson, A. J., Arndt, S., Arnosti, C., Borges, A. V, Dale, A. W., Gallego-Sala, A., Goddéris, Y., Goossens, N., Hartmann, J., Heinze, C., Ilyina, T., Joos, F., LaRowe, D. E., Leifeld, J., Meysman, F. J. R., Munhoven, G., Raymond, P. A., Spahni, R., Suntharalingam, P., and Thullner, M.: Anthropogenic perturbation of the carbon fluxes from land to ocean, Nat. Geosci., 6, 597–607, https://doi.org/10.1038/ngeo1830, 2013.
Revelle, R. and Suess, H. E.: Carbon dioxide exchange between atmosphere and ocean and the question of an increase of atmospheric CO2 during the past decades, Tellus, 9, 18–27, https://doi.org/10.1111/j.2153-3490.1957.tb01849.x, 1957.
Sabine, C. L., Feely, R. A., Gruber, N., Key, R. M., Lee, K., Bullister, J. L., Wanninkhof, R., Wong, C. S., Wallace, D. W. ., Tilbrook, B., Millero, F. J., Peng, T.-H., Kozyr, A., Ono, T., and Rios, A. F.: The Oceanic Sink for Anthropogenic CO2, Science, 305, 367–371, https://doi.org/10.1126/science.1097403, 2004.
Sabine, C. L., Hankin, S., Koyuk, H., Bakker, D. C. E., Pfeil, B., Olsen, A., Metzl, N., Kozyr, A., Fassbender, A., Manke, A., Malczyk, J., Akl, J., Alin, S. R., Bellerby, R. G. J., Borges, A., Boutin, J., Brown, P. J., Cai, W.-J., Chavez, F. P., Chen, A., Cosca, C., Feely, R. A., González-Dávila, M., Goyet, C., Hardman-Mountford, N., Heinze, C., Hoppema, M., Hunt, C. W., Hydes, D., Ishii, M., Johannessen, T., Key, R. M., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Lenton, A., Lourantou, A., Merlivat, L., Midorikawa, T., Mintrop, L., Miyazaki, C., Murata, A., Nakadate, A., Nakano, Y., Nakaoka, S., Nojiri, Y., Omar, A. M., Padin, X. A., Park, G.-H., Paterson, K., Perez, F. F., Pierrot, D., Poisson, A., Ríos, A. F., Salisbury, J., Santana-Casiano, J. M., Sarma, V. V. S. S., Schlitzer, R., Schneider, B., Schuster, U., Sieger, R., Skjelvan, I., Steinhoff, T., Suzuki, T., Takahashi, T., Tedesco, K., Telszewski, M., Thomas, H., Tilbrook, B., Vandemark, D., Veness, T., Watson, A. J., Weiss, R., Wong, C. S., and Yoshikawa-Inoue, H.: Surface Ocean CO2 Atlas (SOCAT) gridded data products, Earth Syst. Sci. Data, 5, 145–153, https://doi.org/10.5194/essd-5-145-2013, 2013.
Somero, G. N., Beers, J. M., Chan, F., Hill, T. M., Klinger, T., and Litvin, S. Y.: What Changes in the Carbonate System, Oxygen, and Temperature Portend for the Northeastern Pacific Ocean: A Physiological Perspective, Bioscience, 66, 14–26, https://doi.org/10.1093/biosci/biv162, 2016.
Sundquist, E. T., Plummer, L. N., and Wigley, T. M. L.: Carbon dioxide in the ocean surface: The homogeneous buffer factor, Science, 204, 1203–1205, https://doi.org/10.1126/science.204.4398.1203, 1979.
Sutton, A. J., Sabine, C. L., Newton, J., Mickett, J., Musielewicz, S., Maenner Jones, S., Dietrich, C., Bott, R., and Osborne, J.: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring LaPush_125W_48N in the Pacific Ocean (NODC Accession 0100072), Version 8.8, National Oceanographic Data Center, NOAA, Dataset, https://doi.org/10.3334/CDIAC/OTG (last access: 19 July 2018), 2012.
Sutton, A. J., Sabine, C. L., Newton, J., Mickett, J., Musielewicz, S., Maenner Jones, S., Dietrich, C., Bott, R., and Osborne, J.: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring WA_125W_47N in the North Pacific Ocean, US West Coast from 2006-06-23 to 2015-10-30 (NODC Accession 0115322), Version 10.10, National Oceanographic Data Center, NOAA, Dataset, https://doi.org/10.3334/CDIAC/OTG (last access: 19 July 2018), 2013.
Sutton, A. J., Sabine, C. L., Newton, J., Mickett, J., Musielewicz, S., Maenner Jones, S., Dietrich, C., Bott, R., and Osborne, J.: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring Dabob_122W_478N (NODC Accession 0116715), Version 3.3, National Oceanographic Data Center, NOAA, Dataset, https://doi.org/10.3334/CDIAC/OTG (last access: 19 July 2018), 2014a.
Sutton, A. J., Sabine, C. L., Maenner-Jones, S., Lawrence-Slavas, N., Meinig, C., Feely, R. A., Mathis, J. T., Musielewicz, S., Bott, R., McLain, P. D., Fought, H. J., and Kozyr, A.: A high-frequency atmospheric and seawater pCO2 data set from 14 open-ocean sites using a moored autonomous system, Earth Syst. Sci. Data, 6, 353–366, https://doi.org/10.5194/essd-6-353-2014, 2014b.
Sutton, A. J., Sabine, C. L., Newton, J., Mickett, J., Musielewicz, S., Maenner Jones, S., Dietrich, C., Bott, R., and Osborne, J.: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring Twanoh_123W_47N (NCEI Accession 0157600), Version 2.2, NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.3334/CDIAC/OTG (last access: 19 July 2018), 2016a.
Sutton, A. J., Sabine, C. L., Feely, R. A., Cai, W.-J., Cronin, M. F., McPhaden, M. J., Morell, J. M., Newton, J. A., Noh, J.-H., Ólafsdóttir, S. R., Salisbury, J. E., Send, U., Vandemark, D. C., and Weller, R. A.: Using present-day observations to detect when anthropogenic change forces surface ocean carbonate chemistry outside preindustrial bounds, Biogeosciences, 13, 5065–5083, https://doi.org/10.5194/bg-13-5065-2016, 2016b.
Takahashi, T., Broecker, W. S., Werner, S. R., and Bainbridge, A. E.: Carbonate chemistry of the surface waters of the worlds ocean, in: Isotope marine Chemistry, edited by: Edward, K. S., Goldberg, D., and Horibe, Y., Geochemistry Research Association, 291–326, 1980.
Takahashi, T., Goddard, J. G., and Chipman, D. W.: Seasonal variation of CO2 and nutrients in the high-latitude surface oceans: A comparative study, Global Biogeochem. Cy., 7, 843–878, 1993.
Takahashi, T., Sutherland, S. C., Wanninkhof, R., Sweeney, C., Feely, R. A., Chipman, D. W., Hales, B., Friederich, G. E., Chavez, F. P., Sabine, C. L., Watson, A. J., Bakker, D. C. E., Schuster, U., Metzl, N., Yoshikawa-Inoue, H., Ishii, M., Midorikawa, T., Nojiri, Y., Körtzinger, A., Steinhoff, T., Hoppema, M., Olafsson, J., Arnarson, T. S., Tilbrook, B., Johannessen, T., Olsen, A., Bellerby, R., Wong, C. S., Delille, B., Bates, N. R., and de Baar, H. J. W.: Climatological mean and decadal change in surface ocean pCO2, and net sea-air CO2, flux over the global oceans, Deep-Res. Pt II, 56, 554–577, https://doi.org/10.1016/j.dsr2.2008.12.009, 2009.
Takahashi, T., Sutherland, S. C., Chipman, D. W., Goddard, J. G., and Ho, C.: Climatological distributions of pH, pCO2, total CO2, alkalinity, and CaCO3 saturation in the global surface ocean, and temporal changes at selected locations, Mar. Chem., 164, 95–125, https://doi.org/10.1016/j.marchem.2014.06.004, 2014.
Takeshita, Y., Frieder, C. A., Martz, T. R., Ballard, J. R., Feely, R. A., Kram, S., Nam, S., Navarro, M. O., Price, N. N., and Smith, J. E.: Including high-frequency variability in coastal ocean acidification projections, Biogeosciences, 12, 5853–5870, https://doi.org/10.5194/bg-12-5853-2015, 2015.
Thomson, R. E., Mihály, S. F., and Kulikov, E. A.: Estuarine versus transient flow regimes in Juan de Fuca Strait, J. Geophys. Res., 112, C09022, https://doi.org/10.1029/2006JC003925, 2007.
UNESCO: Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements, IOC Manual and Guides 29, available at: http://unesdoc.unesco.org/images/0009/000997/099739eo.pdf (last access: 14 December 2017), 1994.
Uppström, L. R.: The boron-chlorinity ratio of deep seawater from the Pacific Ocean, Deep. Res. Pt I, 21, 161–162, 1974.
van Heuven, S. M. A. C., Pierrot, D., Rae, J. W. B., Lewis, E., and Wallace, D. W.: MATLAB Program Developed for CO2 System Calculations. ORNL/CDIAC-105b., ORNL/CDIAC-105b. Carbon Dioxide Inf. Anal. Center, Oak Ridge Natl. Lab. US Dep. Energy, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/CDIAC/otg.CO2SYS_MATLAB_v1.1, 2011.
Wahl, M., Saderne, V., and Sawall, Y.: How good are we at assessing the impact of ocean acidification in coastal systems? Limitations, omissions and strengths of commonly used experimental approaches with special emphasis on the neglected role of fluctuations, Mar. Freshwater Res., 67, 25–36, https://doi.org/10.1071/MF14154, 2016.
Waldbusser, G. G. and Salisbury, J. E.: Ocean acidification in the coastal zone from an organism's perspective: multiple system parameters, frequency domains, and habitats, Annu. Rev. Mar. Sci., 6, 221–247, https://doi.org/10.1146/annurev-marine-121211-172238, 2014.
Weisberg, S. B., Bednaršek, N., Feely, R. A., Chan, F., Boehm, A. B., Sutula, M., Ruesink, J. L., Hales, B., Largier, J. L., and Newton, J. A.: Water quality criteria for an acidifying ocean: Challenges and opportunities for improvement, Ocean Coast. Manage., 126, 31–41, https://doi.org/10.1016/j.ocecoaman.2016.03.010, 2016.
Wong, P. P., Losada, I. J., Gattuso, J.-P., Hinkel, J., Khattabi, A., McInnes, K. L., Saito, Y., and Sallenger, A.: Coastal ecosystems and low-lying areas, in Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Field, C. B., Barros, V. R., Dokken, D. J., Mach, K. J., Mastrandrea, M. D., Bilir, T. E., Chatterjee, M., Ebi, K. L., Estrada, Y. O., Genova, R. C., Girma, B., Kissel, E. S., Levy, A. N., MacCracken, S., Mastrandrea, P. R., and White, L. L., Cambridge University Press, Cambridge, UK and New York, NY, USA, 361–409, 2014.
Short summary
Ocean acidification (OA) is difficult to identify in coastal marine waters due to the magnitude of natural variability and lack of historical baseline information. To provide regional context for ongoing research, adaptation, and management efforts, we have collated high-quality publicly available data to characterize seasonal cycles of OA-relevant parameters in the Pacific Northwest marine surface waters. Large nonstationary chemical gradients from the open ocean into the Salish Sea are found.
Ocean acidification (OA) is difficult to identify in coastal marine waters due to the magnitude...
